Bioengineering Professor Trey Ideker Wins 2009 Overton Prize
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RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY
RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY Proceedings of the 5th WSEAS International Conference on CELLULAR and MOLECULAR BIOLOGY, BIOPHYSICS and BIOENGINEERING (BIO '09) Proceedings of the 3rd WSEAS International Conference on COMPUTATIONAL CHEMISTRY (COMPUCHEM '09) Puerto De La Cruz, Tenerife, Canary Islands, Spain December 14-16, 2009 Recent Advances in Biology and Biomedicine A Series of Reference Books and Textbooks Published by WSEAS Press ISSN: 1790-5125 www.wseas.org ISBN: 978-960-474-141-0 RECENT ADVANCES in BIOLOGY, BIOPHYSICS, BIOENGINEERING and COMPUTATIONAL CHEMISTRY Proceedings of the 5th WSEAS International Conference on CELLULAR and MOLECULAR BIOLOGY, BIOPHYSICS and BIOENGINEERING (BIO '09) Proceedings of the 3rd WSEAS International Conference on COMPUTATIONAL CHEMISTRY (COMPUCHEM '09) Puerto De La Cruz, Tenerife, Canary Islands, Spain December 14-16, 2009 Recent Advances in Biology and Biomedicine A Series of Reference Books and Textbooks Published by WSEAS Press www.wseas.org Copyright © 2009, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed -
Applied Category Theory for Genomics – an Initiative
Applied Category Theory for Genomics { An Initiative Yanying Wu1,2 1Centre for Neural Circuits and Behaviour, University of Oxford, UK 2Department of Physiology, Anatomy and Genetics, University of Oxford, UK 06 Sept, 2020 Abstract The ultimate secret of all lives on earth is hidden in their genomes { a totality of DNA sequences. We currently know the whole genome sequence of many organisms, while our understanding of the genome architecture on a systematic level remains rudimentary. Applied category theory opens a promising way to integrate the humongous amount of heterogeneous informations in genomics, to advance our knowledge regarding genome organization, and to provide us with a deep and holistic view of our own genomes. In this work we explain why applied category theory carries such a hope, and we move on to show how it could actually do so, albeit in baby steps. The manuscript intends to be readable to both mathematicians and biologists, therefore no prior knowledge is required from either side. arXiv:2009.02822v1 [q-bio.GN] 6 Sep 2020 1 Introduction DNA, the genetic material of all living beings on this planet, holds the secret of life. The complete set of DNA sequences in an organism constitutes its genome { the blueprint and instruction manual of that organism, be it a human or fly [1]. Therefore, genomics, which studies the contents and meaning of genomes, has been standing in the central stage of scientific research since its birth. The twentieth century witnessed three milestones of genomics research [1]. It began with the discovery of Mendel's laws of inheritance [2], sparked a climax in the middle with the reveal of DNA double helix structure [3], and ended with the accomplishment of a first draft of complete human genome sequences [4]. -
Tsvi Tlusty – C.V
TSVI TLUSTY – C.V. 06/2021 Center for Soft and Living Matter, Institute for Basic Science, Bldg. (#103), Ulsan National Institute of Science and Technology, 50 UNIST-gil, Ulju-gun, Ulsan 44919, Korea email: [email protected] homepage: life.ibs.re.kr EDUCATION AND EMPLOYMENT 2015– Distinguished Professor, Department of Physics, UNIST, Ulsan 2015– Group Leader, Center for Soft and Living Matter, Institute for Basic Science 2011–2015 Long-term Member, Institute of Advanced Study, Princeton. 2005–2013 Senior researcher, Physics of Complex Systems, Weizmann Institute. 2000–2004 Fellow, Center for Physics and Biology, Rockefeller University, New York. Host: Prof. Albert Libchaber 1995–2000 Ph.D. in Physics, Weizmann Institute, “Universality in Microemulsions”, Supervisor: Prof. Samuel A. Safran. 1991–1995 M.Sc. in Physics, Weizmann Institute. 1988–1990 B.Sc. in Physics and Mathematics (Talpyot), Hebrew University, Jerusalem. Teaching: Landmark Experiments in Biology (2006); Statistical Physics (2007, 2017-20); Information in Biology (2012); Errors and Codes (IAS, 2012); Theory of Living Matter (2016); Students and post-doctoral fellows (03/2020) Pineros William (postdoc, 2019- ) John Mcbride (postdoc, 2018- ) Somya Mani (postdoc, 2018- ) Tamoghna Das (postdoc, 2018- ) Ashwani Tripathi (postdoc, 2018- ) Sandipan Dutta (postdoc, 2016-2021), Prof. at BIRS Pileni, India Vladimir Reinharz (postdoc, 2018-2020), Prof. at U. Montreal. YongSeok Jho (research fellow, 2016-2017), Prof. at GyeongSang U. Yoni Savir (Ph.D., 2005-2011) Prof. at Technion. Adam Lampert (Ph.D., 2008-2012) Prof. at U. Arizona. Arbel Tadmor (M.Sc., 2006-2008) researcher at TRON. Maria Rodriguez Martinez (Postdoc, 2007-2009), PI at IBM Zurich Tamar Friedlander (Postdoc, 2009 -2012) Prof. -
A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast
A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast By Jessica M. Vera B.S. University of Wisconsin-Madison, 2007 A thesis submitted to the Faculty of the Graduate School in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Molecular, Cellular, and Developmental Biology 2015 This thesis entitled: A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast written by Jessica M. Vera has been approved for the Department of Molecular, Cellular, and Developmental Biology Tom Blumenthal Robin Dowell Date The final copy of this thesis has been examined by the signatories, and we find that both the content and the form meet acceptable presentation standards of scholarly work in the above mentioned discipline iii Vera, Jessica M. (Ph.D., Molecular, Cellular and Developmental Biology) A Computational and Evolutionary Approach to Understanding Cryptic Unstable Transcripts in Yeast Thesis Directed by Robin Dowell Cryptic unstable transcripts (CUTs) are a largely unexplored class of nuclear exosome degraded, non-coding RNAs in budding yeast. It is highly debated whether CUT transcription has a functional role in the cell or whether CUTs represent noise in the yeast transcriptome. I sought to ascertain the extent of conserved CUT expression across a variety of Saccharomyces yeast strains to further understand and characterize the nature of CUT expression. To this end I designed a Hidden Markov Model (HMM) to analyze strand-specific RNA sequencing data from nuclear exosome rrp6Δ mutants to identify and compare CUTs in four different yeast strains: S288c, Σ1278b, JAY291 (S.cerevisiae) and N17 (S.paradoxus). -
Microblogging the ISMB: a New Approach to Conference Reporting
Message from ISCB Microblogging the ISMB: A New Approach to Conference Reporting Neil Saunders1*, Pedro Beltra˜o2, Lars Jensen3, Daniel Jurczak4, Roland Krause5, Michael Kuhn6, Shirley Wu7 1 School of Molecular and Microbial Sciences, University of Queensland, St. Lucia, Brisbane, Queensland, Australia, 2 Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, California, United States of America, 3 Novo Nordisk Foundation Center for Protein Research, Panum Institute, Copenhagen, Denmark, 4 Department of Bioinformatics, University of Applied Sciences, Hagenberg, Freistadt, Austria, 5 Max-Planck-Institute for Molecular Genetics, Berlin, Germany, 6 European Molecular Biology Laboratory, Heidelberg, Germany, 7 Stanford Medical Informatics, Stanford University, Stanford, California, United States of America Cameron Neylon entitled FriendFeed for Claire Fraser-Liggett opened the meeting Scientists: What, Why, and How? (http:// with a review of metagenomics and an blog.openwetware.org/scienceintheopen/ introduction to the human microbiome 2008/06/12/friendfeed-for-scientists-what- project (http://friendfeed.com/search?q = why-and-how/) for an introduction. room%3Aismb-2008+microbiome+OR+ We—a group of science bloggers, most fraser). The subsequent Q&A session of whom met in person for the first time at covered many of the exciting challenges The International Conference on Intel- ISMB 2008—found FriendFeed a remark- for those working in this field. Clearly, ligent Systems for Molecular Biology -
Mechanistic Mathematical Modeling of Spatiotemporal Microtubule Dynamics and Regulation in Vivo
Research Collection Doctoral Thesis Mechanistic mathematical modeling of spatiotemporal microtubule dynamics and regulation in vivo Author(s): Widmer, Lukas A. Publication Date: 2018 Permanent Link: https://doi.org/10.3929/ethz-b-000328562 Rights / License: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library diss. eth no. 25588 MECHANISTICMATHEMATICAL MODELINGOFSPATIOTEMPORAL MICROTUBULEDYNAMICSAND REGULATION INVIVO A thesis submitted to attain the degree of DOCTOR OF SCIENCES of ETH ZURICH (dr. sc. eth zurich) presented by LUKASANDREASWIDMER msc. eth cbb born on 11. 03. 1987 citizen of luzern and ruswil lu, switzerland accepted on the recommendation of Prof. Dr. Jörg Stelling, examiner Prof. Dr. Yves Barral, co-examiner Prof. Dr. François Nédélec, co-examiner Prof. Dr. Linda Petzold, co-examiner 2018 Lukas Andreas Widmer Mechanistic mathematical modeling of spatiotemporal microtubule dynamics and regulation in vivo © 2018 ACKNOWLEDGEMENTS We are all much more than the sum of our work, and there is a great many whom I would like to thank for their support and encouragement, without which this thesis would not exist. I would like to thank my supervisor, Prof. Jörg Stelling, for giving me the opportunity to conduct my PhD research in his group. Jörg, you have been a great scientific mentor, and the scientific freedom you give your students is something I enjoyed a lot – you made it possible for me to develop my own theories, and put them to the test. I thank you for the trust you put into me, giving me a challenge to rise up to, and for always having an open door, whether in times of excitement or despair. -
EMBO Facts & Figures
excellence in life sciences Reykjavik Helsinki Oslo Stockholm Tallinn EMBO facts & figures & EMBO facts Copenhagen Dublin Amsterdam Berlin Warsaw London Brussels Prague Luxembourg Paris Vienna Bratislava Budapest Bern Ljubljana Zagreb Rome Madrid Ankara Lisbon Athens Jerusalem EMBO facts & figures HIGHLIGHTS CONTACT EMBO & EMBC EMBO Long-Term Fellowships Five Advanced Fellows are selected (page ). Long-Term and Short-Term Fellowships are awarded. The Fellows’ EMBO Young Investigators Meeting is held in Heidelberg in June . EMBO Installation Grants New EMBO Members & EMBO elects new members (page ), selects Young EMBO Women in Science Young Investigators Investigators (page ) and eight Installation Grantees Gerlind Wallon EMBO Scientific Publications (page ). Programme Manager Bernd Pulverer S Maria Leptin Deputy Director Head A EMBO Science Policy Issues report on quotas in academia to assure gender balance. R EMBO Director + + A Conducts workshops on emerging biotechnologies and on H T cognitive genomics. Gives invited talks at US National Academy E IC of Sciences, International Summit on Human Genome Editing, I H 5 D MAN 201 O N Washington, DC.; World Congress on Research Integrity, Rio de A M Janeiro; International Scienti c Advisory Board for the Centre for Eilish Craddock IT 2 015 Mammalian Synthetic Biology, Edinburgh. Personal Assistant to EMBO Fellowships EMBO Scientific Publications EMBO Gold Medal Sarah Teichmann and Ido Amit receive the EMBO Gold the EMBO Director David del Álamo Thomas Lemberger Medal (page ). + Programme Manager Deputy Head EMBO Global Activities India and Singapore sign agreements to become EMBC Associate + + Member States. EMBO Courses & Workshops More than , participants from countries attend 6th scienti c events (page ); participants attend EMBO Laboratory Management Courses (page ); rst online course EMBO Courses & Workshops recorded in collaboration with iBiology. -
Causal Queries from Observational Data in Biological Systems Via Bayesian Networks: an Empirical Study in Small Networks
Causal Queries from Observational Data in Biological Systems via Bayesian Networks: An Empirical Study in Small Networks Alex White and Matthieu Vignes Abstract Biological networks are a very convenient modelling and visualisation tool to discover knowledge from modern high-throughput genomics and post- genomics data sets. Indeed, biological entities are not isolated, but are components of complex multi-level systems. We go one step further and advocate for the con- sideration of causal representations of the interactions in living systems. We present the causal formalism and bring it out in the context of biological networks, when the data is observational. We also discuss its ability to decipher the causal infor- mation flow as observed in gene expression. We also illustrate our exploration by experiments on small simulated networks as well as on a real biological data set. Key words: Causal biological networks, Gene regulatory network reconstruction, Direct Acyclic Graph inference, Bayesian networks 1 Introduction Throughout their lifetime, organisms express their genetic program, i.e. the instruc- tion manual for molecular actions in every cell. The products of the expression of this program are messenger RNA (mRNA); the blueprints to produce proteins, the cornerstones of the living world. The diversity of shapes and the fate of cells is a re- sult of different readings of the genetic material, probably because of environmental factors, but also because of epigenetic organisational capacities. The genetic mate- rial appears regulated to produce what the organism needs in a specific situation. We now have access to rich genomics data sets. We see them as instantaneous images of cell activity from varied angles, through different filters. -
CV Aviv Regev
AVIV REGEV Curriculum Vitae Education and training Ph.D., Computational Biology, Tel Aviv University, Tel Aviv, Israel, 1998-2002 Advisor: Prof. Eva Jablonka (Tel Aviv University) Advisor: Prof. Ehud Shapiro (Computer Science, Weizmann Institute) M.Sc. (direct, Summa cum laude) Tel Aviv University, Tel Aviv, Israel, 1992-1997 Advisor: Prof. Sara Lavi A student in the Adi Lautman Interdisciplinary Program for the Fostering of Excellence (studies mostly in Biology, Computer Science and Mathematics) Post Training Positions Executive Vice President and Global Head, Genentech Research and Early Development, Genentech/Roche, 2020 - Current HHMI Investigator, 2014-2020 Chair of the Faculty (Executive Leadership Team), Broad Institute, 2015 – 2020 Professor, Department of Biology, MIT, 2015-Current (on leave) Founding Director, Klarman Cell Observatory, Broad Institute, 2012-2020 Director, Cell Circuits Program, Broad Institute, 2013 - 2020 Associate Professor with Tenure, Department of Biology, MIT, 2011-2015 Early Career Scientist, Howard Hughes Medical Institute, 2009-2014 Core Member, Broad Institute of MIT and Harvard, 2006-Current (on leave) Assistant Professor, Department of Biology, MIT, 2006-2011 Bauer Fellow, Center for Genomics Research, Harvard University, 2003-2006 International Service Founding Co-Chair, Human Cell Atlas, 2016-Current Honors Vanderbilt Prize, 2021 AACR Academy, Elected Fellow, 2021 AACR-Irving Weinstein Foundation Distinguished Lecturer, 2021 James Prize in Science and Technology Integration, National Academy of -
EMBO Encounters Issue43.Pdf
WINTER 2019/2020 ISSUE 43 Nine group leaders selected Meet the first EMBO Global Investigators PAGE 6 Accelerating scientific publishing EMBO publishing costs Review Commons Making our journals’ platform announced finances public PAGE 3 PAGES 10 – 11 Welcome, Young Investigators! Contract replaces stipend Marking ten years 27 group leaders join the programme EMBO Postdoctoral Fellowships EMBO Molecular Medicine receive an update celebrates anniversary PAGES 4 – 5 PAGE 7 PAGE 13 www.embo.org TABLE OF CONTENTS EMBO NEWS EMBO news Review Commons: accelerating publishing Page 3 EMBO Molecular Medicine turns ten © Marietta Schupp, EMBL Photolab Marietta Schupp, © Page 13 Editorial MBO was founded by scientists for Introducing 27 new Young Investigators scientists. This philosophy remains at Pages 4-5 Ethe heart of our organization until today. EMBO Members are vital in the running of our Meet the first EMBO Global programmes and activities: they screen appli- Accelerating scientific publishing 17 journals on board Investigators cations, interview candidates, decide on fund- Review Commons will manage the transfer of ing, and provide strategic direction. On pages EMBO and ASAPbio announced pre-journal portable review platform the manuscript, reviews, and responses to affili- Page 6 8-9 four members describe why they chose to ate journals. A consortium of seventeen journals New members meet in Heidelberg dedicate their time to an EMBO Committee across six publishers (see box) have joined the Fellowships: from stipends to contracts Pages 14 – 15 and what they took away from the experience. n December 2019, EMBO, in partnership with decide to submit their work to a journal, it will project by committing to use the Review Commons Page 7 When EMBO was created, the focus lay ASAPbio, launched Review Commons, a multi- allow editors to make efficient editorial decisions referee reports for their independent editorial deci- specifically on fostering cross-border inter- Ipublisher partnership which aims to stream- based on existing referee comments. -
Advancing a Systems Cell-Free Metabolic Engineering Approach to Natural Product Synthesis and Discovery
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 12-2020 Advancing a systems cell-free metabolic engineering approach to natural product synthesis and discovery Benjamin Mohr University of Tennessee Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Recommended Citation Mohr, Benjamin, "Advancing a systems cell-free metabolic engineering approach to natural product synthesis and discovery. " PhD diss., University of Tennessee, 2020. https://trace.tennessee.edu/utk_graddiss/6837 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Benjamin Mohr entitled "Advancing a systems cell-free metabolic engineering approach to natural product synthesis and discovery." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Doctor of Philosophy, with a major in Energy Science and Engineering. Mitchel Doktycz, Major Professor We have read this dissertation and recommend its acceptance: Jennifer Morrell-Falvey, Dale Pelletier, Michael Simpson, Robert Hettich Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) Advancing a systems cell-free metabolic engineering approach to natural product synthesis and discovery A Dissertation Presented for the Doctor of Philosophy Degree The University of Tennessee, Knoxville Benjamin Pintz Mohr December 2019 c by Benjamin Pintz Mohr, 2019 All Rights Reserved. -
Twinscan: a Software Package for Homology-Based Gene Prediction
Washington University in St. Louis Washington University Open Scholarship All Computer Science and Engineering Research Computer Science and Engineering Report Number: WUCSE-2003-8 2003-02-14 Twinscan: A Software Package for Homology-Based Gene Prediction Paul Flicek A complete mapping from genome to proteome would constitute a foundation for genome- based biology and provide targets for pharmaceutical and therapeutic intervention. This is one reason gene structure prediction has been a major subfield of computational biology for vo er 20 years. Many of the widely used gene prediction systems were developed in the 1990s and are unable to take advantage of the revolution in comparative genomics brought on by the sequencing of the entire genomes of an increasing numbers of vertebrates. Twinscan is a new system for high-throughput gene-structure prediction that exploits the patterns of conservation observed in alignments... Read complete abstract on page 2. Follow this and additional works at: https://openscholarship.wustl.edu/cse_research Part of the Computer Engineering Commons, and the Computer Sciences Commons Recommended Citation Flicek, Paul, "Twinscan: A Software Package for Homology-Based Gene Prediction" Report Number: WUCSE-2003-8 (2003). All Computer Science and Engineering Research. https://openscholarship.wustl.edu/cse_research/1126 Department of Computer Science & Engineering - Washington University in St. Louis Campus Box 1045 - St. Louis, MO - 63130 - ph: (314) 935-6160. This technical report is available at Washington University Open Scholarship: https://openscholarship.wustl.edu/ cse_research/1126 Twinscan: A Software Package for Homology-Based Gene Prediction Paul Flicek Complete Abstract: A complete mapping from genome to proteome would constitute a foundation for genome-based biology and provide targets for pharmaceutical and therapeutic intervention.